Algebraic and Geometric Methods in Statistics

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Paolo Gibilisco
Cambridge University Press, 2010 - Mathematics - 365 pages
This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models, in particular, exponential models. This book presents a new way of approaching classical statistical problems and raises scientific questions that would never have been considered without the interaction of these two disciplines. Beginning with a brief introduction to each area, using simple illustrative examples, the book then proceeds with a collection of reviews and some new results written by leading researchers in their respective fields. Part III dwells in both classical and quantum information geometry, containing surveys of key results and new material. Finally, Part IV provides examples of the interplay between algebraic statistics and information geometry. Computer code and proofs are also available online, where key examples are developed in further detail.
 

Contents

Indicator function and sudoku designs R Fontana and M
12
Maximum likelihood estimation in latent class models for con
27
Yuguo Chen
99
Adrian Dobra
135
interpolation and statistical modelling over
159
Design of experiments and biochemical network inference
175
Roberto Fontana
203
Markov basis for design of experiments with threelevel factors
225
Axiomatic geometries for text documents G Lebanon
277
Exponential manifold by reproducing kernel Hilbert spaces
291
Geometry of extended exponential models D Imparato
307
Quantum statistics and measures of quantum information
327
Algebraic varieties vs differentiable manifolds in statistical
341
Coloured figures for Chapter 2
369
The generalised shuttle algorithm A Dobra and S E Fien
395
Indicator function and sudoku designs R Fontana and M
408

Introduction to nonparametric estimation R F Streater
241
The Banach manifold of quantum states R F Streater
257
Replicated measurements and algebraic statistics R Notari
424
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About the author (2010)

Professor Paolo Gibilisco is a Researcher in Mathematical Analysis in the School of Economics at the University of Rome 'Tor Vergata'.

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